Weighted networks are used in biology, see [1]}, in stock markets analysis, see [2]} and [3]}, as well as in the studies on the structural and functional organisation of the human brain, see [4]}. Usually, the weight of link \(l_{st}\)  connecting nodes \(s\)  and \(t\)  are given by some kind of a correlation coefficient related to some rankings or processes asocciated to nodes. In [5]}, the weights \(w_{st}\)  of links \(l_{st}\)  were given by \(w_{st}=\tau _{st}\) , where \(\tau _{st}\)  were Kendall’s \(\tau \)  coefficients,
see [6]}, [7]} and [8]}, of the voting results of jurors \(J_{s}\)  and \(J_{t}\) . For stock market networks, this correlation was measured by the Pearson correlation coefficient, see [9]}.
